EVO builds the strategy from the description: target companies by archetype, equivalent and adjacent titles, the career signals that matter and the terms to exclude. All of it editable, and the sweep runs on your own account.
You type the job title and pray. Whoever holds the title shows up; whoever does the work under a different name on the badge does not. And each recruiter on the team searches their own way, with nobody knowing which one worked.
The strategy is explicit and arguable: these companies, because they have this archetype; these titles, because they are equivalent in practice; these signals, because the role calls for maturity rather than a title.
Before the terms comes the reasoning: what the ideal candidate looks like, which company archetype shapes that profile, which career signals separate someone who grew from someone who just changed jobs, and why this strategy rather than another.
You disagree in plain language and it redoes it. Target companies are a starting point, not a cage: any company with that archetype is in scope.
Regular LinkedIn or Sales Navigator, with pagination and a live count: how many it found, how many are new, how many were already in your base and how many it skipped.
Working as a team, you choose which hunter the search runs on. It happens in that person’s Chrome, respecting their window and their cap.
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single use · expires in 10 minutes
LinkedIn automation is where a cheap promise gets expensive. Every risky step went through a spike with an explicit gate: if the test on a real account did not pass, the feature did not enter the sprint.
The first real use produced five chained fixes that no synthetic test would have revealed, including a timeout: with human pacing, a search takes two to four minutes.
An app on your machine uses the session you already signed into. No password, no cloud, with a cap that you set.
See inside →ScreeningAssessment per candidateA score across four dimensions with text for each one, a read of the career, strengths, concerns and gaps, plus the odds of acceptance.
See inside →Your own databaseSearch by meaningEvery candidate you have seen stays in a database of yours. Wishlist and blacklist flags follow the person across any role.
See inside →It takes a real role to see EVO work, not a canned example.
Start using it